Title :
Blind Identification of the Central Aortic Pressure Waveform from Multiple Peripheral Arterial Pressure Waveforms
Author :
Swamy, Gokul ; Ling, Qi ; Li, Tongtong ; Mukkamala, Ramakrishna
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI
Abstract :
We introduce a blind identification technique to reconstruct the clinically more relevant central aortic pressure waveform from multiple less invasively measured peripheral arterial pressure waveforms. We conducted initial testing of the technique in two swine in which peripheral arterial pressure waveforms from the femoral and radial arteries and reference central aortic pressure were simultaneously measured during diverse hemodynamic conditions. We report an overall error between the estimated and measured central aortic pressure waveforms of 4.8%. Potential clinical applications of the technique may include critical care monitoring with respect to invasive catheter systems and emergency and home monitoring with respect to non-invasive arterial pressure transducers
Keywords :
biomedical measurement; biomedical transducers; blind source separation; blood vessels; catheters; haemodynamics; medical signal processing; patient care; patient monitoring; pressure transducers; signal reconstruction; blind identification technique; central aortic pressure waveform reconstruction; critical care monitoring; diverse hemodynamic conditions; emergency monitoring; femoral arteries; home monitoring; invasive catheter systems; multiple peripheral arterial pressure waveform; noninvasive arterial pressure transducers; radial arteries; swine; Arteries; Blood pressure; Catheters; Distortion measurement; Hemodynamics; Pressure measurement; Pulse measurements; Reflection; System identification; Transfer functions;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260538